Last updated: 02 July 2024


Prospective candidates can apply for the program using COAP (Common Offer Acceptance Portal).

Details of the admission procedure are available here

We solicit applications to our M.Tech program from curious and creative individuals satisfying any one of the following requirements.

Eligibility Criteria -

The minimum educational qualifications for admission to the M.Tech 2-year program are:

  • B.Tech./BE (any branch), BS - 4year program (Physics/ Chem/ Math/ Stat/Biosciences/ related sciences). An applicant must have a minimum of 60% or 6.0/10 in the qualifying degree. All regular applicants must have a valid score/qualification in GATE. Applicants with B.Tech. from IITs with an overall grade point average of 6.5/10 or higher and 8.0/10.0 in the last two years.
  • Applicant must have GATE in any of the following disciplines BM, BT, CS, EC, EE, IN, MA, ME, PH, ST, XE, XL.

Academic Requirement -

Program Minimum course credits Minimum thesis credits Minimum total credits
M.Tech 72 72 144

All M.Tech Cognitive Systems students will take the following core courses and minimum of three elective courses (tentative course list for academic year 2024 - 2025).

1st Semester
Course Number Name
CGS601A Foundations of Cognitive Science
CGS602A Basic statistics data analysis & inference
CGS610A (modular- 1st half) Experiment design and analysis
CGS611A Basics of psychophysics
Elective 1
2nd Semester
CGS786 Computational Cognitive Science
CGS616 Human Centered Computing
Elective 2
Elective 3
3rd Semester
4th Semester
List of other elective courses
CGS612A (modular) Eye-tracking and VR as tools in Cognitive Science
CGS613A (modular) Basics of EEG
CGS641A Topics in Translational Neuroscien
CGS402A Applied cognitive science
CGS646A Topics in agent based models in cognitive and behavioural science
CGS690A Social behavior and the brain: an introduction to social neuroscience
CGS698C Bayesian models & data analysis
CS798H Human Computer interaction
CS771 Machine Learning
CS772 Probabilistic Machine Learning
CS779 Statistical Natural Language Processing
CGS609A Cognitive Neuroscience
CGS698D Neurobiology of Affect & Motivation
Interdisciplinary Courses
CGS616 Human Centered Computing
CGS786 Computational Cognitive Science